All content

Pathways and Gene annotations for QTL region (7)

• Download

This workflow searches for genes which reside in a QTL (Quantitative Trait Loci) region in the mouse, Mus musculus. The workflow requires an input of: a chromosome name or number; a QTL start base pair position; QTL end base pair position. Data is then extracted from BioMart to annotate each of the genes found in this region. The Entrez and UniProt identifiers are then sent to KEGG to obtain KEGG gene identifiers. The KEGG gene identifiers are then used to searcg for pathways in the KEGG path...

Created: 2009-11-19 | Last updated: 2012-09-07

Credits: Paul Fisher

Mouse Microarray Analysis (3)

• Download

This workflow takes in probesets from and AffyMetrix micorarray experiment and returns: the genes ; gene start and end positions; chromosome where genes reside; ensembl trasncripts; SwissProt ids; affy probeset identifiers for chips Mouse430_2 and Mouse430a_2. Example ids from the Mouse430_2 affymetrix array are as follows (newline separated): 1447227_at 1440624_at 1436240_at 1454904_at 1435665_at 1418148_at 1429831_at

Created: 2007-10-03 | Last updated: 2009-12-03

Extract Scientific Terms (1)

This workflow takes in a document containg text and removes any non-ascii characters. The cleaned text is then sent to a service in Dresden, to extract all scientific terms. These terms represent a concept profile for the input concpet. Any null values are also removed.

Created: 2009-08-10 | Last updated: 2009-08-10

Credits: Paul Fisher

Rank Phenotype Terms (1)

This workflow counts the number of articles in the pubmed database in which each term occurs, and identifies the total number of articles in the entire PubMed database. It also identified the total number of articles within pubmed so that a term enrichment score may be calculated. The workflow also takes in a document containing abstracts that are related to a particular phenotype. Scientiifc terms are then extracted from this text and given a weighting according to the number of terms that ...

Created: 2009-08-10

Credits: Paul Fisher

Cosine vector space (1)

This workflow calculates the cosine vector space between two sets of corpora. The workflow then removes any null values from the output. The result is a cosine vector score between 0 and 1, showing the significance of any links between one concept (e.g. pathway) to another (e.g. phenotype). A score of 0 means there is no or an undetermined correlation between the two concepts. A score approaching 1 represents positive correlation.

Created: 2009-08-10 | Last updated: 2009-08-10

Credits: Paul Fisher

View

Pathway Abstracts for Day7 Microarray Tir1 QTL

Created: 2009-08-11 14:08:41 | Last updated: 2009-08-11 14:15:58

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

Comments: 0 | Viewed: 47 times | Downloaded: 0 times

View

Phenotype Term Counts (in Phenotype Corpus)

Created: 2009-08-11 13:34:42 | Last updated: 2009-08-11 13:58:28

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

Comments: 0 | Viewed: 43 times | Downloaded: 0 times

View

Gene Cosine Scores

Created: 2009-08-10 16:00:45

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Excel workbook

Comments: 0 | Viewed: 60 times | Downloaded: 0 times

View

Pathway Cosine Scores from Day7 and Tir1 QTL

Created: 2009-08-10 15:55:24

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Excel workbook

Comments: 0 | Viewed: 53 times | Downloaded: 0 times

View Download

Table of SNP sequenceing results

Created: 2009-04-08 13:29:32

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Word document

Comments: 0 | Viewed: 896 times | Downloaded: 42 times